mem0-context-loader
Search memories from earlier OpenCode sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
来源信息
- 仓库
- mem0ai/mem0
- 最近来源活动
- 2026年9月23日 14:05
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 68,033
- Forks
- 8,062
安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- name
- mem0-context-loader
- description
- Search memories from earlier OpenCode sessions in this repository. Use it when earlier work may already explain the code, error, decision, or command you need, so you can avoid repeating file reads, searches, or experiments.
# Context Loader
Pre-fetches relevant memories to prime context before working on a task.
## Steps
1. **Extract topics** from current message/task. Identify: file paths, module names, feature areas, error patterns.
2. **Call `search_memories` once** with a focused question about the task: `filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}`, `top_k=10`.
3. **Output compact context block** (max 10 memories):
```
context-loader: loaded <N> memories for "<task summary>"
- [decision] <content> [mem0:<short_id>]
- [convention] <content> [mem0:<short_id>]
- [anti_pattern] <content> [mem0:<short_id>]
```
4. If **zero results**: output nothing. Don't announce empty context.
## Constraints
- **Read-only** — never modify or delete memories
- **Max 10 memories** returned (most relevant only)
- **Silent on empty** — only surfaces findings if relevant context exists
- Skip memories already visible in current session context
## Output formatting
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like **bold**, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.
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